Yulong Cong

1.1k total citations · 2 hit papers
32 papers, 927 citations indexed

About

Yulong Cong is a scholar working on Molecular Biology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yulong Cong has authored 32 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Epidemiology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Yulong Cong's work include Liver Disease Diagnosis and Treatment (6 papers), Chemical Synthesis and Analysis (3 papers) and Antiplatelet Therapy and Cardiovascular Diseases (3 papers). Yulong Cong is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Chemical Synthesis and Analysis (3 papers) and Antiplatelet Therapy and Cardiovascular Diseases (3 papers). Yulong Cong collaborates with scholars based in China, United States and Japan. Yulong Cong's co-authors include Fei Tian, Jiashu Sun, Baoquan Ding, Chao Liu, Lili Cai, Jianqiao Chang, Yunjie Yang, Junxiang Zhao, Qiang Feng and Weihong Tan and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Analytical Chemistry.

In The Last Decade

Yulong Cong

31 papers receiving 920 citations

Hit Papers

Low-cost thermophoretic profiling of extracellular-vesicl... 2019 2026 2021 2023 2019 2021 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yulong Cong China 10 596 378 199 76 48 32 927
Qingfu Zhu China 17 862 1.4× 434 1.1× 368 1.8× 49 0.6× 24 0.5× 38 1.2k
Doudou Lou China 15 765 1.3× 393 1.0× 231 1.2× 173 2.3× 45 0.9× 24 949
Bin Hong United States 8 215 0.4× 308 0.8× 120 0.6× 60 0.8× 37 0.8× 14 608
Rebecca E. Lane Australia 9 821 1.4× 278 0.7× 412 2.1× 46 0.6× 62 1.3× 15 928
Chi‐Ju Kim South Korea 12 714 1.2× 534 1.4× 347 1.7× 41 0.5× 16 0.3× 19 1.1k
Yike Li China 15 1.0k 1.7× 501 1.3× 336 1.7× 245 3.2× 88 1.8× 49 1.6k
Áron Sipos Hungary 8 372 0.6× 154 0.4× 140 0.7× 77 1.0× 66 1.4× 32 668
Tatu Rojalin United States 16 788 1.3× 385 1.0× 232 1.2× 96 1.3× 156 3.3× 24 1.1k
Nam Huh South Korea 22 607 1.0× 716 1.9× 212 1.1× 46 0.6× 25 0.5× 53 1.4k
Dina Tzemach Israel 15 759 1.3× 515 1.4× 45 0.2× 93 1.2× 36 0.8× 19 1.5k

Countries citing papers authored by Yulong Cong

Since Specialization
Citations

This map shows the geographic impact of Yulong Cong's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yulong Cong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yulong Cong more than expected).

Fields of papers citing papers by Yulong Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yulong Cong. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yulong Cong. The network helps show where Yulong Cong may publish in the future.

Co-authorship network of co-authors of Yulong Cong

This figure shows the co-authorship network connecting the top 25 collaborators of Yulong Cong. A scholar is included among the top collaborators of Yulong Cong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yulong Cong. Yulong Cong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhou, Weiyan, Yuanli Mao, Qianwen Zhang, et al.. (2025). Analytical performance evaluation and optimization of serum 25(OH)D LC-MS/MS measurement. Clinical Chemistry and Laboratory Medicine (CCLM). 63(7). 1354–1365. 2 indexed citations
2.
Tian, Fei, Shaohua Zhang, Chao Liu, et al.. (2021). Protein analysis of extracellular vesicles to monitor and predict therapeutic response in metastatic breast cancer. Nature Communications. 12(1). 2536–2536. 207 indexed citations breakdown →
3.
Liu, Ye, et al.. (2021). Two dimensional nanosheets as immunoregulator improve HIV vaccine efficacy. Chemical Science. 13(1). 178–187. 7 indexed citations
4.
Chen, Si, Yuan Liu, Lili Cai, et al.. (2021). Erythropoiesis changes with increasing age in the elderly Chinese. International Journal of Laboratory Hematology. 43(5). 1168–1173. 7 indexed citations
5.
Liu, Ye, Xingming Chen, Hongyan Cao, et al.. (2020). Surface-modified mesoporous nanofibers for microfluidic immunosensor with an ultra-sensitivity and high signal-to-noise ratio. Biosensors and Bioelectronics. 166. 112444–112444. 14 indexed citations
6.
Liu, Chao, Junxiang Zhao, Fei Tian, et al.. (2019). Low-cost thermophoretic profiling of extracellular-vesicle surface proteins for the early detection and classification of cancers. Nature Biomedical Engineering. 3(3). 183–193. 394 indexed citations breakdown →
7.
Cao, Hongyan, Yunyun Wang, Yuan Gao, et al.. (2018). Molecular Design of β‐Sheet Peptide for the Multi‐Modal Analysis of Disease. Angewandte Chemie. 131(6). 1640–1645. 3 indexed citations
8.
Wang, Yunyun, et al.. (2016). Peptidic β-sheet binding with Congo Red allows both reduction of error variance and signal amplification for immunoassays. Biosensors and Bioelectronics. 86. 211–218. 17 indexed citations
10.
Ren, Junwei, Jian Cao, Yulong Cong, et al.. (2013). Chronic kidney disease — Is it a true risk factor of reduced clopidogrel efficacy in elderly patients with stable coronary artery disease?. Thrombosis Research. 131(3). 218–224. 5 indexed citations
11.
Liu, Ye, Fusheng Li, Zhi Qi, et al.. (2013). The effects of HIV Tat DNA on regulating the immune response of HIV DNA vaccine in mice. Virology Journal. 10(1). 297–297. 14 indexed citations
13.
Chen, Jing, Zhong-Ping Duan, Li Bai, et al.. (2012). [Changing characteristic of blood coagulation factors and their correlation with blood coagulation status in different hepatic diseases].. PubMed. 20(3). 206–10. 11 indexed citations
14.
Chen, Xinming, Liangcheng Yang, Lili Cai, et al.. (2010). [Effects of extracellular calcium concentration on platelets aggregation, coagulation indices and thromboelastography].. PubMed. 90(22). 1547–50. 4 indexed citations
15.
Wei, Yuxiang, et al.. (2009). Assessment of validity of INR system for patients with liver disease associated with viral hepatitis. Journal of Thrombosis and Thrombolysis. 30(1). 84–89. 6 indexed citations
16.
Li, Shijun, et al.. (2007). Experimental arterial thrombosis regulated by androgen and its receptor via modulation of platelet activation. Thrombosis Research. 121(1). 127–134. 39 indexed citations
17.
Sun, Zhiqiang, et al.. (2007). [Formulation and application of diagnostic models based on clinical biochemical assays in diagnosis of chronic hepatitis and liver cirrhosis associated with viral hepatitis].. PubMed. 21(3). 276–8. 1 indexed citations
18.
Li, Qin, et al.. (2005). [The value of coagulation factors in severity categorization of hepatitis B-related liver cirrhosis].. PubMed. 44(3). 188–90. 2 indexed citations
19.
Li, Qin, Guizhen Sun, Bao-en Wang, et al.. (2004). [The relationship among the counts of platelet, thrombopoietin and spleen index in patients with liver cirrhosis].. PubMed. 12(4). 210–2. 5 indexed citations
20.
Cong, Yulong, et al.. (2002). [Impact of shear stress on expression of platelet membrane glycoproteins].. PubMed. 82(4). 267–70.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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